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Product Management with AI · LearnSpace
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Product Management with AI

Курс от AI CERTs
Начальный≈ 25 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial intelligence is changing how product teams plan roadmaps, evaluate customer needs, and improve product decisions across business environments. Organizations are increasingly using AI-powered tools to accelerate research, improve analysis, and strengthen product planning workflows. This Product Management with AI course is designed for product managers, founders, business professionals, and learners seeking practical knowledge of AI in product environments. Learners will explore how AI technologies support user research, product analytics, roadmap planning, and customer insight generation without requiring advanced technical expertise. The course focuses on implementation-oriented product management applications and modern business workflows. You’ll examine how AI tools support feature prioritization, market evaluation, product optimization, and strategic analysis. Through practical scenarios, learners will explore how AI supports product discovery, analytics interpretation, workflow efficiency, and faster research processes. You’ll also learn how professionals evaluate AI opportunities, improve planning accuracy, and support responsible AI use across product environments. In addition, the course introduces foundational concepts around AI governance, ethical AI adoption, and implementation approaches used within modern product teams. By the end of the course, you’ll be able to identify AI opportunities in product management, improve roadmap prioritization, accelerate product research workflows, strengthen customer insight generation, and apply AI-supported approaches to improve strategic decision-making. Enroll in this AI product management course to build practical product strategy skills and support modern product operations with greater confidence.

Навыки, которые вы освоите

Artificial IntelligenceRegulation and Legal ComplianceEmerging TechnologiesAI IntegrationsLaw, Regulation, and ComplianceRegulatory ComplianceEthical Standards And ConductCustomer InsightsAI WorkflowsPerformance MeasurementUser ResearchProduct DevelopmentKey Performance Indicators (KPIs)

Программа курса

8 модулей · 104 учебных материалов

01Module 1: Introduction to AI for Product Managers13 материалов
Navigation VideoВидеоCourse IntroductionВидеоEBook: Module 1: Introduction to AI for Product ManagersPLUGINAudiobook: Module 1: Introduction to AI for Product ManagersВидео

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AI CERTs Team

Преподаватель курса

Product Management with AI
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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 25 ч

8 модулей

Язык: Английский

Часть программы вашего университета
Podcast: Module 1: Introduction to AI for Product ManagersВидео
1.1 What is AI?Видео
1.2 Branches of Artificial IntelligenceВидео
1.3 Deep Dive into AI Applications for Product ManagementВидео
1.4 The Role of an AI Product ManagerВидео
1.5 Introduction to the Importance of AI in Product DevelopmentВидео
1.6 Challenges of AI in Product DevelopmentВидео
ACTIVITY: TabPLUGIN
Quiz 1Задание
02Module 2: Fundamentals of Machine Learning11 материалов
EBook: Module 2: Fundamentals of Machine LearningPLUGINAudiobook: Module 2: Fundamentals of Machine LearningВидеоPodcast: Module 2: Fundamentals of Machine LearningВидео2.1 Introduction to Machine LearningВидео2.2 How Machine Learning WorksВидео2.3 Types of Machine LearningВидео2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine LearningВидеоACTIVITY: Case StudyPLUGIN2.5 Why We Need Data PreprocessingВидео2.6 Data Preprocessing Steps in Machine LearningВидеоQuiz 2Задание
03Module 3: AI Product Development Lifecycle13 материалов
EBook: Module 3: AI Product Development LifecyclePLUGINAudiobook: Module 3: AI Product Development LifecycleВидеоPodcast: Module 3: AI Product Development LifecycleВидео3.1 The Integration of AI into Product DevelopmentВидео3.2 Role of AI in Product DevelopmentВидео3.3 AI Transforming Product DevelopmentВидео3.4 Merits of AI in Product DevelopmentВидео3.5 Different Stages of AI Product DevelopmentВидео3.6 Use Cases of AI for Product Development in Different IndustriesВидеоACTIVITY: Sequence ArrangementPLUGIN3.7 Methods for Prototyping and Testing AI-Driven ProductsВидео3.8 Best AI Tools for Product ManagersВидеоQuiz 3Задание
04Module 4: AI Ethics and Bias15 материалов
EBook: Module 4: AI Ethics and BiasPLUGINAudiobook: Module 4: AI Ethics and BiasВидеоPodcast 4: AI Ethics and BiasВидео4.1 Bias, Fairness, and Privacy ProtectionВидео4.2 Transparency, Explainability, and ResponsibilityВидео4.3 Safety, Reliability, and Social ImpactВидео4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous MonitoringВидеоACTIVITY: Case StudyPLUGIN4.5 Bias: What It Is, Its Sources, and the Possibility of Eliminating ItВидео4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and ProductsВидео4.7 Key to Fix Bias in AI and Machine Learning AlgorithmsВидео4.8 Tools to Reduce Bias: AI Fairness 360Видео4.9 Tools to Reduce Bias: IBM Watson Open Scale and Google’s What-If ToolВидео4.10 Examples: What Are Some Real-World Examples of AI Bias?ВидеоQuiz 4Задание
05Module 5: AI Implementation Strategies15 материалов
EBook: Module 5: AI Implementation StrategiesPLUGINAudiobook: Module 5: AI Implementation StrategiesВидеоPodcast: Module 5: AI Implementation StrategiesВидео5.1 Steps for AI Integration and Product EnhancementВидео5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI IntegrationВидео5.3 Implementing AI in Your Product and Selecting Tools & FrameworksВидео5.4 Developing AI Models and Deploying AI FeaturesВидео5.5 Monitoring and Improving AI PerformanceВидео5.6 Examples of AI IntegrationsВидео5.7 Methods to Integrate AI into an AppВидеоACTIVITY: CarouselPLUGIN5.8 Key Steps and Strategies in Stakeholder Management for Product TeamsВидео5.9 Benefits and Role of Stakeholders in Product ManagementВидео5.10 What Is It That Stakeholders Really Want?ВидеоQuiz 5Задание
06Module 6: AI Metrics and Performance Evaluation14 материалов
EBook: Module 6: AI Metrics and Performance EvaluationPLUGINAudiobook: Module 6: AI Metrics and Performance EvaluationВидеоPodcast: Module 6: AI Metrics and Performance EvaluationВидео6.1 KPI: Introduction, Evolution, and Common KPIs for AI in MarketingВидео6.2 AI-Enhanced Tracking of KPIsВидео6.3 Examples of AI Tools for KPI Measurement and AnalyticsВидео6.4 Case Studies in AI-Driven KPI MeasurementВидео6.5 KPI Dashboard Software and ToolsВидео6.6 Introduction to Performance EvaluationВидео6.7 Techniques Used for Performance Evaluation: Confusion MatrixВидео6.8 Techniques Used for Performance Evaluation: AUC-ROC CurveВидео6.9 Techniques Used for Performance Evaluation: Gini Coefficient and R-Squared/Adjusted R-SquaredВидеоACTIVITY: Drag and DropPLUGINQuiz 6Задание
07Module 7: AI Regulation and Compliance14 материалов
EBook: Module 7: AI Regulation and CompliancePLUGINAudiobook: Module 7: AI Regulation and ComplianceВидеоPodcast: Module 7: AI Regulation and ComplianceВидео7.1 Introduction to the Regulatory Landscape: AI Regulations Across Different CountriesВидео7.2 Key Global RegulationsВидео7.3 Key Regulatory Rules Required for AIВидео7.4 Entities Most Adversely Affected by AI RegulationsВидео7.5 Impact on AI CompaniesВидеоACTIVITY: HotspotPLUGIN7.6 Introduction to AI Regulatory ComplianceВидео7.7 Compliance StrategiesВидео7.8 Role and Importance of Data Privacy in AI ComplianceВидео7.9 The Role of Legal Professionals in Ensuring Compliance with AI RegulationsВидеоQuiz 7Задание
08Module 8: Future Trends in AI and Product Management9 материалов
EBook: Module 8: Future Trends in AI and Product ManagementPLUGINAudiobook: Module 8: Future Trends in AI and Product ManagementВидеоPodcast: Module 8: Future Trends in AI and Product ManagementВидео8.1 Key Trends to Watch Out ForВидео8.2 Step-by-Step Guide to Strategic PlanningВидео8.3 Strategic PlanВидеоCourse SummaryВидеоACTIVITY: Scenario ActivityPLUGINQuiz 8Задание